Electroencephalographic Indicators in Default Mode, Habituation, and Visual-motor Association in Female College Students.

Background: Oscillations, action, and postsynaptic potentials in glial-neuronal ensembles integrate the spectral power (SP) of electroencephalographic (EEG). Our objective is to propose SP indicators of healthy brains (control groups) based on the default mode and their modifications by habituation and visual-motor association (VM-asso), to support diagnostic and rehabilitation processes. However, important differences seem to exist between men and women.

Desynchronization/synchronization of parasagittal EEG rhythms during habituation to photostimulation in adults.

Introduction: Learning by habituation implies a gradual diminution of the organism's responses to non-relevant stimuli. These responses, resulting from electrical oscillations of the brain, can be analyzed through quantitative electroencephalography (qEEG).

Objective: To characterize the absolute power (AP) in the range of delta (δ), theta (θ), alpha (α), beta (β) in cortical parasagittal regions during habituation to photostimulation (RPh).

[Desynchronization/synchronization of lateral EEG rhythms during habituation to photostimulation in adults].

Background: Berger related the EEG with cognition; we are attempting to identify which rhythms and circuits participate in habituation, a learning that decreases responses to meaningless stimuli which, changed the absolute power (AP) of EEG oscillations.

Objective: To characterize habituation, analyzing the AP of four rhythms in lateral regions of both hemispheres (BH), proposing that their diminution, desynchronization (D), means activation whereas their increase, synchronization (S), means inhibition.

Material And Methods: qEEG analysis in 83 college students, in waking state with closed eyes, and photostimulated (RPh).

[Absolute power of cortical oscillations and their topographical distribution in a sample of young adults during resting wakefulness and unspecific attention].

Introduction: The EEG records neuronal membrane potential oscillations that depend on the morpho-functional characteristics of the membrane and of modifications by postsynaptic excitatory (PSEP) and inhibitory (PSIP) potentials. The quantitative EEG (qEEG) measures the absolute power (AP) of oscillations separated in frequencies, resulting from the interaction among subcortical-cortical-subcortical ensembles. The hypothesis is that neuronal networks function at a given frequency and that their APs are codes that, by becoming synchronized in diverse ensembles, generate behavior.

Assisted diagnosis of attention-deficit hyperactivity disorder through EEG bandpower clustering with self-organizing maps.

The electroencephalogram is an attractive clinical tool given its non-invasive nature, its ability to reflect real-time changes in local cortical activity, and the load of objective bioelectrical measurements that can be derived from it. For decades, the electroencephalogram has been successfully used for diagnosing epilepsy and schizophrenia, among other brain disorders. This paper focuses in the design and implementation of a computer-aided diagnostic tool for establishing the likelihood of presence of Attention-Deficit Hyperactivity Disorder in children, out of routine electroencephalographic recordings obtained during a specific visual stimulation protocol.